manuelbarrientoschile Goto Github PK

applied-natural-language-processing-w-python

Source Code for 'Applied Natural Language Processing with Python' by Taweh Beysolow II

artificial-neural-networks-with-tensorflow-2

source code

astsa

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

beginning-apache-spark-3

Source Code for 'Beginning Apache Spark 3' by Hien Luu

beto

BETO - Spanish version of the BERT model

cc5206

Introducción a la Minería de Datos

cc6104

Teaching material of the course "Statistical Thinking" of the Department of Computer Science at the University of Chile.

cc6204

Material del curso de Deep Learning de la Universidad de Chile

cc6204-deep-learning

cc6205

Natural Language Processing

cs224d-deep-learning-for-nlp

Solution of CS-224D (Deep Learning for NLP) Assignments and Midterm

curso-bayesiana

curso-estadistica-multivariante

Curso de Estadística Multivariante con R y Python junto a Elisa Cabana

curso-recuperacion-de-informacion-multimedia

Material docente del curso Recuperación de Información Multimedia

curso-series-temporales

dcc-ia-nlp

deep-learning-illustrated

Deep Learning Illustrated (2020)

deep-learning-models-in-tensorflow

Implementation of RNN Language Models Including GRU and LSTM from Scratch

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dl_fundamentals

Videos from my YouTube channel about Deep Learning | Videos de mi canal de YouTube acerca de Fundamentos de Deep Learning

docker-es-resources

estadistica-inferencial

Estadística Inferencial para Machine Learning e Inteligencia Artificial con R y Python con los Drs R.Alberich y A.Mir

gensim

Topic Modelling for Humans

hands-on-natural-language-processing-with-python

Hands On Natural Language Processing with Python, published by Packt

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

info257

Inteligencia Artificial 2020, Ingeniería Civil Informática, Universidad Austral de Chile

info343-unidad5

Lecciones y actividades de la Unidad 5: Redes Neuronales Artificiales del curso INFO343: Minería y Aprendizaje con Datos

lda_classification

A python package that aims to make LDA topic modelling even easier for you!

learn-keras-for-deep-neural-networks

Source Code for 'Learn Keras for Deep Neural Networks' by Jojo John Moolayil

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]